Implement, validate, release and maintain highly-optimized reconstruction and rendering algorithms using CUDA and Slang.
Optimize data processing pipelines for low latency and maximum throughput.
Influence software architecture, validation strategy and technical roadmaps to ensure outstanding performance.

Requirements

Master's of Science in Computer Science or Electrical engineering (or equivalent experience).
3 years of practical experience.
Strong fundamentals in real-time computer graphics.
Expertise in GPU-accelerated software with CUDA, Slang, or other shading languages (GLSL, HLSL, Metal) for low-latency, high-throughput applications.
Expertise defining and driving performance metrics through profiling and benchmarking.
Proficiency with Python and C++.
Track record releasing production-grade software.
Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).
Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives.
Curiosity and drive to learn new technologies and partner across teams and functions.

Benefits

Equity
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

CUDASlangGLSLHLSLMetalPythonC++performance metricsprofilingbenchmarking

Soft Skills

communicationcuriositydrive to learncollaboration

Certifications

Master's of Science in Computer ScienceMaster's of Science in Electrical Engineering